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Explore a thought-provoking lecture on modeling societal collapse presented by Sabin Roman, Research Affiliate at the Centre for the Study of Existential Risk, University of Cambridge. Delve into the complex patterns of societal evolution over extended time periods, examining a predictive model that successfully forecasted a historical collapse case. Learn about system dynamics across millennial timescales and discover the gravitational-like forces that influence societies over such extensive periods. Gain insights into the challenges of applying dynamic system models to complex systems, understand the technological impact on modern society, and examine current global energy production and economic growth trends. Drawing from interdisciplinary tools and expertise in machine learning, dynamical systems theory, network science, and agent-based computing, discover how mathematical modeling can illuminate the mechanisms behind long-term societal evolution and potential collapse scenarios.
